Predictive ability of genomic selection models for breeding value estimation on growth traits of Pacific white shrimp Litopenaeus vannamei
文献类型：CNKI期刊论文
| 作者 | Wang QC(王全超) ; Yu Y(于洋); Li FH(李富花); Zhang XJ(张晓军); Xiang JH(相建海)
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| 发表日期 | 2017-09-15 |
| 出处 | Chinese Journal of Oceanology and Limnology
 |
| 关键词 | genomic selection model prediction growth traits penaeid shrimp |
| 英文摘要 | Genomic selection(GS)can be used to accelerate genetic improvement by shortening the selection interval.The successful application of GS depends largely on the accuracy of the prediction of genomic estimated breeding value(GEBV).This study is a fi rst attempt to understand the practicality of GS in Litopenaeus vannamei and aims to evaluate models for GS on growth traits.The performance of GS models in L.vannamei was evaluated in a population consisting of 205 individuals,which were genotyped for 6 359 single nucleotide polymorphism(SNP)markers by specifi c length amplifi ed fragment sequencing(SLAF-seq)and phenotyped for body length and body weight.Three GS models(RR-BLUP,Bayes A,and Bayesian LASSO)were used to obtain the GEBV,and their predictive ability was assessed by the reliability of the GEBV and the bias of the predicted phenotypes.The mean reliability of the GEBVs for body length and body weight predicted by the dif ferent models was 0.296 and 0.411,respectively.For each trait,the performances of the three models were very similar to each other with respect to predictability.The regression coeffi cients estimated by the three models were close to one,suggesting near to zero bias for the predictions.Therefore,when GS was applied in a L.vannamei population for the studied scenarios,all three models appeared practicable.Further analyses suggested that improved estimation of the genomic prediction could be realized by increasing the size of the training population as well as the density of SNPs. |
| 文献子类 | CNKI期刊论文 |
| 资助机构 | Supported by the National High Technology Research and Development Program of China(863 Program)(No.2012AA10A404) ; the National Natural Science Foundation of China(No.31502161) ; Financially Supported by Qingdao National Laboratory for Marine Science and Technology(No.2015ASKJ02) |
| 卷 | v.35期:05页:237-245 |
| 语种 | 英文; |
| 分类号 | S917.4 |
| ISSN号 | 0254-4059 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/189187]  |
| 专题 | 中国科学院海洋研究所 |
| 作者单位 | 1.KeyLaboratoryofExperimentalMarineBiology,InstituteofOceanology,ChineseAcademyofSciences 2.UniversityofChineseAcademyofSciences 3.QingdaoNationalLaboratoryforMarineScienceandTechnology |
| 推荐引用方式 GB/T 7714 | Wang QC,Yu Y,Li FH,et al. Predictive ability of genomic selection models for breeding value estimation on growth traits of Pacific white shrimp Litopenaeus vannamei. 2017. |
入库方式： OAI收割
来源：海洋研究所
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